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Optimal Income Taxation with Present Bias

American Economic Journal: Economic Policy, 2020
Work often entails up-front effort costs in exchange for delayed benefits, and mounting evidence documents present bias over effort in the face of such delays. This paper studies the implications for the optimal income tax. Optimal tax rates are computed for present-biased workers who choose multiple dimensions of labor effort, some of which occur ...
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Risk and Bias in Portfolio Optimization

2020
In this paper we derive weighted squared risk measures for a commonly used Stein-type estimator of the global minimum variance portfolio. The risk functions are conveniently split in terms of variance and squared bias over different weight matrices. It is argued that the common out-of-sample variance criteria should be used with care and that a simple ...
Thomas Holgersson, Martin Singull
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The Nth-Bias and Blackwell Optimality

2020
In a Markov chain, an th bias is the bias of an Nth bias,. with 1st bias being the standard bias. The Nth biases measure the transient performance of the Markov chain at different levels. In this chapter, we study the optimization problems of the Nth biases for time-nonhomogeneous Markov chains (TNHMCs).
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Forward Curve Bias and Optimization Errors

SSRN Electronic Journal, 2019
We derive optimal hedging ratios for interest rate risk under different assumptions that underpin the relationship between the forward rate and the expected future spot rate. In some instances, full hedging is optimal, and the conditions for the optimality of a partial hedge are identified. Less hedging (more floating debt in our model) is more optimal
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Bias Optimizers

American Scientist, 2023
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The Optimism Bias and Traffic Safety

Proceedings of the Human Factors Society Annual Meeting, 1987
In this study, college students were asked to rate their overall accident likelihood, driving skill, and level of safety relative to other drivers. They also made comparative risk judgements for a variety of specific accident situations. Consistent with previous research, subjects perceived themselves as safer, more skillful, and less likely to be ...
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Racial and socioeconomic disparities in lung cancer screening in the United States: A systematic review

Ca-A Cancer Journal for Clinicians, 2021
Ernesto Sosa   +2 more
exaly  

SCOPE-BIAS: SOCIAL CONTEXTUAL OPTIMIZATION FOR EVALUATING BIAS IN AI SYSTEMS

Full Text Proceedings Book
This study introduces SCOPE-Bias (Social Contextual Optimization for Evaluating Bias in AI Systems), an innovative framework aimed at addressing the shortcomings of traditional bias detection methods in contemporary large language models. Current techniques often struggle to recognize the dynamic and contextual aspects of biases present in ...
Noureen Hameed   +3 more
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A Survey on Bias and Fairness in Machine Learning

ACM Computing Surveys, 2022
Fred Morstatter, Kristina Lerman
exaly  

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